Data Collection 0/8
- Twitter Web Scraping for Sentiment Analysis 01 dayLecture1.1
- SQL Techniques 01 dayLecture1.2
- Cleaning Text Data 01 dayLecture1.3
- Data Cleaning Tutorial with OpenRefine 01 dayLecture1.4
- Data Cleaning Quiz 6 questionsQuiz1.1
- Reading Assignment (Web Scraping Techniques)Lecture1.5
- Homework Assignment (Twitter Sentiment Analysis)Lecture1.6
- Python Regular ExpressionsLecture1.7
Statistics and Probability 0/7
- Credit ScoringLecture2.1
- Discrete ProbabilityLecture2.2
- Random VariablesLecture2.3
- Central Limit TheoremLecture2.4
- Homework Assignment (Analyzing Distributions)Lecture2.5
- Reading Assignment (Hypothesis Testing)Lecture2.6
- Probability Quiz 4 questionsQuiz2.1
Visualization 0/8
- Big Data VisualizationLecture3.1
- Types of VisualizationsLecture3.2
- The Beauty of Data VisualizationLecture3.3
- Data Visualization with Python TutorialLecture3.4
- Dimensionality ReductionLecture3.5
- Reading Assignment (Visualization history)Lecture3.6
- Reading Assignment (Visualization tools)Lecture3.7
- Homework Assignment ( Data Visualization)Lecture3.8
Regression 0/8
- Regression MathematicsLecture4.1
- Linear Regression in Python TutorialLecture4.2
- Types of RegressionLecture4.3
- Reading Assignment (Ridge and Lasso Regression)Lecture4.4
- Logistic RegressionLecture4.5
- Regression Quiz Study GuideLecture4.6
- Regression Quiz 5 questionsQuiz4.1
- Homework Assignment (housing price prediction)Lecture4.7
Supervised Learning 0/9
- Disease DetectionLecture5.1
- Content RecommendationLecture5.2
- Support Vector MachinesLecture5.3
- Logistic RegressionLecture5.4
- Decision TreesLecture5.5
- Reading Assignment (Comparing Techniques)Lecture5.6
- Homework Assignment (Classifying Diseases)Lecture5.7
- SVM Quiz 0 questionQuiz5.1
- Neural NetworksLecture5.8
Supervised Learning Continued 0/9
- Supply Chain ManagementLecture6.1
- Preventing Customer ChurnLecture6.2
- Ensemble LearningLecture6.3
- XGBoostLecture6.4
- Feature EngineeringLecture6.5
- XGBoost Quiz 0 questionQuiz6.1
- Reading Assignment (Supervised Learning)Lecture6.6
- Midterm Assignment (Ensembling a Solution)Lecture6.7
- Self-Supervised LearningLecture6.8
Unsupervised Learning 0/9
- Personalized LearningLecture7.1
- CybersecurityLecture7.2
- Anomaly DetectionLecture7.3
- Time Series ModelingLecture7.4
- Time Series Quiz 0 questionQuiz7.1
- Clustering TechniquesLecture7.5
- Reading Assignment (Modern Unsupervised Learning)Lecture7.6
- Homework Assignment (Unsupervised Learning)Lecture7.7
- Dimensional Reduction TechniquesLecture7.8
Unsupervised Learning Continued 0/9
- Fraud DetectionLecture8.1
- Portfolio OptimizationLecture8.2
- Advanced Clustering TechniquesLecture8.3
- Unsupervised Quiz 0 questionQuiz8.1
- Reading Assignment (The Future of Unsupervised Learning)Lecture8.4
- Homework Assignment (Machine Translation)Lecture8.5
- Latent Dirichlet AllocationLecture8.6
- The t-SNE TechniqueLecture8.7
- Dimensionality Reduction Techniques ComparedLecture8.8
Deep Learning 0/9
- Drug DiscoveryLecture9.1
- Medical ImagingLecture9.2
- Adversarial NetworksLecture9.3
- Capsule NetworksLecture9.4
- Deep Learning Quiz 0 questionQuiz9.1
- Homework Assignment (Deep Learning Project)Lecture9.5
- Reading Assignment (Deep Learning)Lecture9.6
- Modern Deep Learning TechniquesLecture9.7
- BackpropagationLecture9.8
Deep Reinforcement Learning 0/9
- Autonomous SystemsLecture10.1
- Q&A Support SystemsLecture10.2
- Genetic AlgorithmsLecture10.3
- Deep RL Quiz 0 questionQuiz10.1
- Homework Assignment (OpenAI Gym)Lecture10.4
- Reading Assignment (Data Science & RL)Lecture10.5
- Reinforcement Learning in Data ScienceLecture10.6
- Robotic DataLecture10.7
- Internet of Things SystemsLecture10.8
Distributed Computing 0/9
- HadoopLecture11.1
- PySparkLecture11.2
- KubernetesLecture11.3
- DockerLecture11.4
- Kubeflow Quiz 0 questionQuiz11.1
- Reading Assignment (Scaling Data Science)Lecture11.5
- Homework Assignment (Containerization)Lecture11.6
- Modern Distributed SystemsLecture11.7
- Integration ToolsLecture11.8
Data Storytelling 0/9
- Data Science Presentation guideLecture12.1
- Designing an Automated PipelineLecture12.2
- Visual ScienceLecture12.3
- Empathy-Driven StorytellingLecture12.4
- Storytelling Quiz 0 questionQuiz12.1
- Final (Data Science Group Project)Lecture12.5
- Reading Assignment (Well crafted presentations)Lecture12.6
- Using Analytics as a ToolLecture12.7
- Types of InsightsLecture12.8
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